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UAI
2008
15 years 1 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
IJON
2006
99views more  IJON 2006»
14 years 12 months ago
Learning vector quantization: The dynamics of winner-takes-all algorithms
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
Michael Biehl, Anarta Ghosh, Barbara Hammer
ECAI
2008
Springer
15 years 1 months ago
Reinforcement Learning with Classifier Selection for Focused Crawling
Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
Ioannis Partalas, Georgios Paliouras, Ioannis P. V...
EMNLP
2009
14 years 9 months ago
Learning Term-weighting Functions for Similarity Measures
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
Wen-tau Yih
ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
15 years 6 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty